Fundamentals of Robotics & Industrial Automation
Course provided by Model Institute of Engineering & Technology
3 modules
Explore the fundamentals of Cyber Physical Systems
5-6 Level NCrF
National Credit Framework
300 Hours
Flexible Learning
Beginner Level
No prior experience required
Certificate Program
09-10 Credits
Course Overview
This course provides a comprehensive introduction to collaborative robotics and mechatronic systems, focusing on the integration of sensors, transducers, and servo mechanisms in automation. Learners will explore mechanical-electrical interfacing, design robotic manipulators and grippers for industrial tasks, and apply PLC-based digital control logic. The course also emphasizes simulation and system diagnostics using MATLAB-Simulink, preparing learners to design, implement, and optimize advanced robotic and automation solutions.
Key Learning Highlights
- Fundamentals of collaborative robotics, sensors, transducers, and servo systems.
- Mechanical-electrical interfacing for mechatronic and robotic integration.
- Design and analysis of robotic manipulators and grippers.
- Application of PLC programming and digital control logic in automation.
- Simulation and troubleshooting of robotic systems using MATLAB-Simulink.
Tools & Platform Used
Learning Outcome
- Explain the principles of collaborative robotics, sensors, transducers, and servo systems.
- Implement mechanical-electrical interfacing in robotic and mechatronic systems.
- Design robotic manipulators and grippers for industrial tasks.
- Apply PLC programming and digital control logic in automation processes.
- Simulate and analyze robotic and mechatronic systems using MATLAB-Simulink.
Master the course with just 3 Modules
This course covers the foundations of robotics and mechatronic system design. Learners explore sensors, transducers, and feedback mechanisms essential for robotic control, along with servo systems, PLC architecture, and digital interfacing for automation. The program further emphasizes the design of robotic manipulators and grippers, system integration, and real-world case studies on collaborative robots, equipping students with both theoretical understanding and applied engineering skills.
Sensors, Transducers, and Feedback Systems
Understand the role of sensors in robotic systems for perception and control.
Explore types of transducers, including position, force, proximity, and temperature.
Learn feedback principles and signal conditioning for accurate system response.
Servo Systems, PLC, and Interfacing
Study the fundamentals of servo motors, actuators, and their industrial applications.
Learn PLC architecture, ladder logic programming, and control techniques.
Apply digital interfacing methods to connect sensors and actuators effectively.
Robotics Engineering & Mechatronic System Design
Design robotic manipulators and grippers tailored for industrial tasks.
Understand mechatronic system integration, coordination, and troubleshooting.
Examine real-world case studies of collaborative robots in industrial settings.
Roles
- Robotics Engineer
- Mechatronics Engineer
- Automation Engineer
- PLC Programmer
- Industrial Control Engineer
- Maintenance & System Integration Specialist
